‘Holostream’ allows high-quality wireless 3-D video communications

January 9, 2018

A new platform enables high-quality 3-D video communication on mobile devices such as smartphones and tablets using existing standard wireless networks.

“To our knowledge, this system is the first of its kind that can deliver dense and accurate 3-D video content in real time across standard wireless networks to remote mobile devices such as smartphones and tablets,” said Song Zhang, an associate professor in Purdue University’s School of Mechanical Engineering.

The platform, called Holostream, drastically reduces the data size of 3-D video without substantially sacrificing data quality, allowing transmission within the bandwidths provided by existing wireless networks, he said.

It improves the quality and expands the capabilities of popular applications already harnessing real-time 3-D data delivery, such as teleconferencing and “telepresence,” which uses virtual reality and other interactive technologies, allowing people to feel or appear as if they were present in a remote location.

“This technology also could enable emerging applications that may require high-resolution, high-accuracy 3-D video data delivery, such as remote robotic surgery and telemedicine,” said Zhang, director of Purdue’s XYZT Lab.

Existing 3-D video communication technologies have limited applications, in part because of they require specialized and often expensive hardware, complex system setup, and highly demanding computational resources for operation in real-time, or without delay.Before 3-D video can be transmitted it must be compressed. However, it has been difficult to compress 3-D video for transmission in real time using conventional methods. The new platform solves the problem by first converting 3-D video to 2-D format.

Holostream is made possible through a new pipeline for 3-D video recording, compression, transmission, decompression and visualization.

The team developed both the hardware and software for the pipeline including a 3-D video capture system. A 3-D camera captures the images, using an LED light to project structured patterns of stripes onto the object being scanned. These stripes allow the system to determine the depth and shape of the object.

The platform could enable applications where real-time delivery of high-resolution, high accuracy of 3-D video data is especially critical, such as collaborative design and online “facial behavior analysis,” which could reveal a person’s mental state and medical conditions such as depression and post-traumatic stress disorder.

The research has been funded by the National Science Foundation. A patent application has been filed through the Purdue Research Foundation’s Office of Technology Commercialization.